Personalized federated learning for heterogeneous data: A distributed edge clustering approach.

Federated learning (FL) is a distributed machine learning technique that allows multiple devices (e.g., smartphones and IoT devices) to collaborate in the training of a shared model with each device preserving the privacy of its local data.